Graduate Certificate in Environmental and Social Systems Modeling

Modeling Environmental Social Systems

Understanding and responding to complex global environmental changes is a major challenge for policymakers and academic researchers alike. Modeling is a useful tool to tackle these complex issues and study coupled human and natural systems at a variety of spatial and temporal scales. Existing curricular structures emphasize disciplinary approaches resulting in a tendency to view analytical and computational modeling techniques as domain-specific, however. As a result, students are often unaware of the diversity of modeling tools available and how to utilize them to address environmental issues, which limits their ability to apply the most appropriate methodology to a given problem. To address these challenges, a core group of faculty in the Environment and Science Policy Program (ESPP) at Michigan State University (MSU) has established a new educational cluster around modeling techniques for addressing socio-environmental issues in complex systems. This module of courses exposes students to cutting-edge techniques, including agent-based modeling, system dynamics modeling, participatory model-building, hierarchical linear modeling, and structural equation modeling. Our objective is to build a solid foundation in the theory of models and complex systems and provide hands-on experience with model design, development, and evaluation geared toward specific research topics across disciplines. The coursework culminates in an interdisciplinary team-taught capstone seminar on case-based group research that will address a selected practical policy problem using an ensemble of appropriate modeling tools.

Application for the Graduate Certificate in Environmental and Social Systems Modeling

Modeling Certificate Intent to Enroll Form

 

Other Important Environmental and Social Systems Modeling Forms

Modeling Certificate Completion Review Form

 

Requirements for the Graduate Certificate in Environmental and Social Systems Modeling

                 
Students must complete 9 credits from the following:  
1.   Both of the following courses (3 credits):  
    ESP 850 Introduction to Environmental and Social Systems Modeling 1
    ESP 890 Modeling Environmental and Social Systems 2
2.   Two of the following courses (6 credits):  
    CSUS 836 Modeling Natural Resource Systems 3
    GEO 869 Geosimulation 3
    SOC 883 Multi-Equation Quantitative Models 3
    ENE 801 Dynamics of Environmental Systems 3

 

ESP 850 provides students with the theoretical background to understand the diversity of modeling problems arising from coupled human and natural systems. Through exposure to diverse modeling approaches, students learn to discern which modeling tool is most appropriate in a variety of contexts.  ESP 890 is a capstone course that involves a modeling project addressing a real-world environmental problem, supervised by one or more of the coordinating faculty.   Its aim is to teach students how to apply the theories and methodologies from previous modeling courses to practical policy problems.  

For more information, contact Arika Ligmann-Zielinska at arika@msu.edu, Sandra Marquart-Pyatt marqua41@msu.edu or Laura Schmitt Olabisi at schmi420@msu.edu

Between completion of ESP 850 and ESP 890 are three possible elective courses, CSUS 836, GEO 869, and SOC 883.  Students complete two of these modeling electives.   Relying heavily on systems-dynamics modeling, CSUS 836 introduces quantitative modeling approaches as tools for students interested in addressing real-world problems in complex environmental systems. Students learn to identify the characteristics and behavior of complex systems, articulate the steps involved in formulating a research question and building a model to address it, and construct quantitative, dynamic models with appropriate, data-derived relations between variables.   GEO 869 focuses on theoretical concepts related to simulating dynamic geographic phenomena that emerge on the intersection between human and natural systems. The course provides hands-on experience on agent-based modeling, with a special emphasis on modeling human decision making and its impact on natural environment.   SOC 883 covers hierarchical linear modeling and structural equation modeling, providing necessary skills for critically evaluate contemporary research and utilizing these techniques in independent research.  Students learn to effectively communicate advanced statistical concepts and understand and evaluate the application of these methods to a variety of social and environmental issues and behavior across multiple spatial scales.

Schedule of Modeling Instructors

See the chart below for which of the three instructors will be teaching which course.

  • Fall 2019

    ESP 850 - Sandra Marquart-Pyatt

    ESP 890 Laura Schmitt-Olabisi

  • Fall 2020

    ESP 850 Laura Schmitt-Olabisi

    ESP 890 Sandra Marquart-Pyatt

  • Fall 2021

    ESP 850 Arika Ligmann-Zielinska

    ESP 890 Laura Schmitt-Olabisi 

  • Fall 2022

    ESP 850 Arika Ligmann-Zielinska

    ESP 890 Sandra Marquart-Pyatt